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From the log transformed raw data, a MATLAB script was used to find a maximum linear slope in a 30 time points (2.5 h) sliding window to determine maximum growth rate for a clone.
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S A R = c × m F m P × Δ T Δ t, with c as the specific sample's heat capacity, mP the MNP's mass, mF the fluid's mass, and ∆T/∆t the maximum value of the linear slope at initial times, was used.
For multiple ensembles, one obtains a linear slope approximately twice the maximum depths to the various magnetic sources (Rabeh et al. [2008]; Trifonova et al. [2009]; Bansal et al. [2011]; Abraham et al. [2014]).
For a single ensemble, the natural log of the power spectrum density as a function of wave number would have a linear slope approximately twice the maximum depth (Rabeh et al. [2008]).
The maximum rate (Vmax) of Pi release was derived from the linear slope of Pi release, and kcat was calculated by dividing Vmax by the enzyme concentration.
Furthermore, the wash-in was calculated as a linear slope from the first point before contrast enhancement to the first maximum.
The variance in linear slope did not change.
The random effects included an intercept and a linear slope.
The variance of the Linear slope, however, was considerably smaller (Var(Slope) = .59).59
The variance of the Linear slope was considerably smaller (Var(Slope) = .56).56
Trends across ages were tested using linear slope tests.
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